363 lines
12 KiB
Python
363 lines
12 KiB
Python
import subprocess
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from pathlib import Path
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import sys
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import logging
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from datetime import datetime
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from time import time
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from rich.logging import RichHandler
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from rich.progress import Progress
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from pickle import dumps, loads
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import atexit
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root = None
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TRAIN = False
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ESTI_FILE = Path("esti.out")
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CFG_FILE = Path("config.json")
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CFG = {
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"crf":"18",
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"codec": "h264",
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"extra": [],
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"ffmpeg": "ffmpeg",
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"manual": None,
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"video_ext": [".mp4", ".mkv"],
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"train": False
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}
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esti=None # :tuple[list[int],list[float]]
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def get_cmd(video_path,output_file):
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if CFG["manual"] is not None:
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command=[
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CFG["ffmpeg"],
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"-hide_banner",
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"-i", video_path
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]
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command.extend(CFG["manual"])
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command.append(output_file)
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command = [
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CFG["ffmpeg"],
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"-hide_banner", # 隐藏 ffmpeg 的横幅信息
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"-i", video_path,
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"-vf", "scale=-1:1080", # 设置视频高度为 1080,宽度按比例自动计算
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"-c:v", CFG["codec"], # 使用 Intel Quick Sync Video 编码
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"-global_quality", CFG["crf"], # 设置全局质量(数值越低质量越高)
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"-r","30",
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"-preset", "slow", # 设置压缩速度为慢(压缩效果较好)
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"-y",
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]
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command.extend(CFG["extra"])
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command.append(output_file)
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return command
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def train_init():
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global esti_data,TRAIN,data_file
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data_file = Path("estiminate_data.dat")
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if data_file.exists():
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esti_data=loads(data_file.read_bytes())
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if not isinstance(esti_data,tuple):
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esti_data=([],[])
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else:
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esti_data=([],[])
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TRAIN=True
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atexit.register(save_esti)
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# print(esti_data)
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# 配置logging
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def setup_logging():
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log_dir = Path("logs")
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log_dir.mkdir(exist_ok=True)
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log_file = log_dir / f"video_compress_{datetime.now().strftime('%Y%m%d')}.log"
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stream = RichHandler(rich_tracebacks=True,tracebacks_show_locals=True)
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stream.setLevel(logging.DEBUG)
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stream.setFormatter(logging.Formatter("%(message)s"))
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file = logging.FileHandler(log_file, encoding='utf-8')
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file.setLevel(logging.INFO)
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logging.basicConfig(
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level=logging.DEBUG,
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format='%(asctime)s - %(levelname) 7s - %(message)s',
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handlers=[
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file,
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stream
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]
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)
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def polyfit_manual(x, y, degree=2):
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"""手动实现二次多项式最小二乘拟合"""
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n = len(x)
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if n != len(y):
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raise ValueError("输入的x和y长度必须相同")
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# 对于二次多项式 y = ax^2 + bx + c
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# 构建矩阵方程 A * [a, b, c]^T = B
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# 其中 A = [[sum(x^4), sum(x^3), sum(x^2)],
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# [sum(x^3), sum(x^2), sum(x)],
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# [sum(x^2), sum(x), n]]
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# B = [sum(x^2 * y), sum(x * y), sum(y)]
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# 计算需要的和
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sum_x = sum(x)
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sum_x2 = sum(xi**2 for xi in x)
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sum_x3 = sum(xi**3 for xi in x)
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sum_x4 = sum(xi**4 for xi in x)
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sum_y = sum(y)
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sum_xy = sum(xi*yi for xi, yi in zip(x, y))
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sum_x2y = sum(xi**2*yi for xi, yi in zip(x, y))
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# 构建矩阵A和向量B
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A = [
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[sum_x4, sum_x3, sum_x2],
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[sum_x3, sum_x2, sum_x],
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[sum_x2, sum_x, n]
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]
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B = [sum_x2y, sum_xy, sum_y]
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# 使用高斯消元法解线性方程组
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# 将增广矩阵 [A|B] 转换为行阶梯形式
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AB = [row + [b] for row, b in zip(A, B)]
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n_rows = len(AB)
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# 高斯消元
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for i in range(n_rows):
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# 寻找当前列中最大元素所在的行
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max_row = i
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for j in range(i + 1, n_rows):
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if abs(AB[j][i]) > abs(AB[max_row][i]):
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max_row = j
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# 交换行
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AB[i], AB[max_row] = AB[max_row], AB[i]
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# 将当前行主元归一化
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pivot = AB[i][i]
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if pivot == 0:
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raise ValueError("矩阵奇异,无法求解")
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for j in range(i, n_rows + 1):
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AB[i][j] /= pivot
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# 消元
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for j in range(n_rows):
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if j != i:
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factor = AB[j][i]
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for k in range(i, n_rows + 1):
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AB[j][k] -= factor * AB[i][k]
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# 提取结果
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coeffs = [AB[i][n_rows] for i in range(n_rows)]
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return coeffs # [a, b, c] 对应 ax^2 + bx + c
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def save_esti():
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try:
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if len(esti_data[0]) > 0:
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coeffs = polyfit_manual(esti_data[0], esti_data[1])
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# 保存为逗号分隔的文本格式
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ESTI_FILE.write_text(','.join(map(str, coeffs)))
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except Exception as e:
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logging.warning("保存估算数据失败", exc_info=e)
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def fmt_time(t:int) -> str:
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if t>3600:
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return f"{t//3600}h {t//60}min {t%60}s"
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elif t>60:
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return f"{t//60}min {t%60}s"
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else:
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return f"{round(t)}s"
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def func(sz:int,src=False):
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if TRAIN:
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try:
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data_file.write_bytes(dumps(esti_data))
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except KeyboardInterrupt as e:raise e
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except Exception as e:
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logging.warning("无法保存数据",exc_info=e)
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try:
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if TRAIN:
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if len(esti_data[0])==0:
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return -1 if src else "NaN"
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coeffs = polyfit_manual(esti_data[0], esti_data[1])
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t = coeffs[0]*sz**2 + coeffs[1]*sz + coeffs[2]
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elif esti is not None:
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t = esti[0]*sz**2 + esti[1]*sz + esti[2]
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# print(t,sz)
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else:
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logging.warning(f"Unexpected condition at func->TRAIN")
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return -1 if src else "NaN"
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t = round(t)
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if src:
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return t
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return fmt_time(t)
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except KeyboardInterrupt as e:raise e
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except Exception as e:
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logging.warning("无法计算预计时间",exc_info=e)
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return -1 if src else "NaN"
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def process_video(video_path: Path):
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global esti_data
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use=None
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sz=video_path.stat().st_size//(1024*1024)
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if esti is not None or TRAIN:
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use = func(sz,True)
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logging.debug(f"开始处理文件: {video_path.relative_to(root)},大小{sz}M,预计{fmt_time(use)}")
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else:
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logging.debug(f"开始处理文件: {video_path.relative_to(root)},大小{sz}M")
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bgn=time()
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# 在视频文件所在目录下创建 compress 子目录(如果不存在)
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compress_dir = video_path.parent / "compress"
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compress_dir.mkdir(exist_ok=True)
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# 输出文件路径:与原文件同名,保存在 compress 目录下
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output_file = compress_dir / (video_path.stem + video_path.suffix)
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if output_file.is_file():
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logging.warning(f"文件{output_file}存在,跳过")
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return use
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# 4x
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# command = [
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# "ffmpeg.exe", # 可以修改为 ffmpeg 的完整路径,例如:C:/ffmpeg/bin/ffmpeg.exe
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# "-hide_banner", # 隐藏 ffmpeg 的横幅信息
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# "-i", str(video_path.absolute()),
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# "-filter:v", "setpts=0.25*PTS", # 设置视频高度为 1080,宽度按比例自动计算
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# "-filter:a", "atempo=4.0",
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# "-c:v", "h264_qsv", # 使用 Intel Quick Sync Video 编码
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# "-global_quality", "28", # 设置全局质量(数值越低质量越高)
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# "-r","30",
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# "-preset", "fast", # 设置压缩速度为慢(压缩效果较好)
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# "-y",
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# str(output_file.absolute())
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# ]
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# 1x
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command = get_cmd(str(video_path.absolute()),output_file)
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try:
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# 调用 ffmpeg,并捕获标准输出和错误信息
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result = subprocess.run(
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command,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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encoding="utf-8",
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text=True
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)
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# 检查 ffmpeg 的错误输出
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if result.stderr:
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# 记录所有警告和错误信息
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for line in result.stderr.splitlines():
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if 'warning' in line.lower():
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logging.warning(f"[FFmpeg]({video_path}): {line}")
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elif 'error' in line.lower():
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logging.error(f"[FFmpeg]({video_path}): {line}")
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# 检查 ffmpeg 执行的返回码
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if result.returncode != 0:
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logging.error(f"处理文件 {video_path} 失败,返回码: {result.returncode},cmd={' '.join(command)}")
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logging.error(result.stdout)
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logging.error(result.stderr)
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else:
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logging.debug(f"文件处理成功: {video_path} -> {output_file}")
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end=time()
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if TRAIN:
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esti_data[0].append(sz)
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esti_data[1].append(end-bgn)
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except Exception as e:
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logging.error(f"执行 ffmpeg 命令时发生异常, 文件:{video_path},cmd={' '.join(command)}",exc_info=e)
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return use
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def traverse_directory(root_dir: Path):
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video_extensions = set(CFG["video_ext"])
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sm=None
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if esti is not None:
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logging.info(f"正在估算时间(当存在大量小文件时,估算值将会很离谱)")
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sm = 0
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for file in root_dir.rglob("*"):
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if file.parent.name == "compress":continue
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if file.is_file() and file.suffix.lower() in video_extensions:
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sz=file.stat().st_size//(1024*1024)
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tmp = func(sz,True)
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if not isinstance(tmp,int):
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logging.error("无法预估时间,因为预估函数返回非整数")
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elif tmp == -1:
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logging.error("无法预估时间,因为预估函数返回了异常")
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sm += tmp
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logging.info(f"预估用时:{fmt_time(sm)}")
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logging.debug(f"开始遍历目录: {root_dir}")
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# 定义需要处理的视频后缀(忽略大小写)
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with Progress() as prog:
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task = prog.add_task("压缩视频",total=sm)
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# prog.print("进度条右侧时间为不精确估算(当所有文件处理时间相同时估算精确)")
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# 使用 rglob 递归遍历所有文件
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for file in root_dir.rglob("*"):
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if file.parent.name == "compress":continue
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if file.is_file() and file.suffix.lower() in video_extensions:
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t = process_video(file)
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# if esti is not None:
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# sm-=t
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# prog.update(task,advance=1,description=f"预计剩余{fmt_time(sm)}")
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if t is None:
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prog.advance(task)
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else:
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prog.advance(task,t)
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if __name__ == "__main__":
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setup_logging()
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tot_bgn = time()
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logging.info("-------------------------------")
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logging.info(datetime.now().strftime('Video Compress started at %Y/%m/%d %H:%M'))
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if CFG_FILE.exists():
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try:
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import json
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cfg:dict = json.loads(CFG_FILE.read_text())
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CFG.update(cfg)
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except Exception as e:
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logging.warning("Invalid config file, ignored.")
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logging.debug(e)
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# 通过命令行参数传入需要遍历的目录
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if len(sys.argv) < 2:
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print(f"用法:python {__file__} <目标目录>")
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logging.warning("Error termination via invalid input.")
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sys.exit(1)
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root = Path(sys.argv[1])
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if CFG["train"]:
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train_init()
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else:
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if ESTI_FILE.exists():
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try:
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# 从文件读取系数
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coeffs_str = ESTI_FILE.read_text().strip().split(',')
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esti = [float(coeff) for coeff in coeffs_str]
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except Exception as e:
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logging.warning(f"预测输出文件{str(ESTI_FILE)}存在但无法读取", exc_info=e)
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if not root.is_dir():
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print("提供的路径不是一个有效目录。")
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logging.warning("Error termination via invalid input.")
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sys.exit(1)
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try:
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traverse_directory(root)
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tot_end = time()
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logging.info(f"Elapsed time: {fmt_time(tot_end-tot_bgn)}")
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logging.info("Normal termination of Video Compress.")
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except KeyboardInterrupt:
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logging.warning("Error termination via keyboard interrupt, CHECK IF LAST PROCSSING VIDEO IS COMPLETED.")
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except Exception as e:
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logging.error("Error termination via unhandled error, CHECK IF LAST PROCSSING VIDEO IS COMPLETED.",exc_info=e)
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